Lead Software/Platform Engineer II

MetLife; Maharashtra; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

MetLife is seeking a Senior AI Engineer to design and implement production‑grade AI use cases on an enterprise AI platform. You will mentor engineers, collaborate across teams, and ensure reliable, compliant AI delivery.

The role demands deep expertise in .NET/C#, Python, and Azure AI services, with a focus on scalable architectures, vector search, NLP, and cost‑efficient operations.

Qualifications

• Bachelor’s degree in computer science, engineering, finance/accounts, or related discipline.
• 10–12 years of hands‑on experience in AI engineering.
• Strong experience designing scalable AI/ML systems and production‑grade deployments.

Responsibilities

• Design and implement scalable, production‑grade AI/ML use cases on an enterprise AI platform.
• Collaborate with product, architecture, and business teams to translate requirements into AI solutions.
• Provide engineering guidance, reference architecture, and technical reviews.
• Work with core AI platform team to ensure optimal platform adoption and feedback.
• Identify gaps and drive platform evolution including AI, GenAI, and MLOps needs.
• Ensure quality, reliability, observability, and responsible AI across deployments.
• Mentor junior engineers and promote strong engineering practices.

Skills

NET Core / C#

Python

LLMs / Azure OpenAI / RAG

Azure AI services

Microservices / REST APIs

Vector search / document processing

Education

Bachelor’s degree in computer science / engineering / finance or related

Tools

Azure AI Studio / Prompt Flow

Cloud-native development

Job description

Position Summary

Seeking a Senior AI Engineer to design and implement production‑grade AI use cases using an enterprise AI platform. This role requires strong applied AI expertise, close collaboration with platform and product teams, and the ability to provide technical leadership and mentorship while delivering scalable, business‑impacting AI solutions.

Job Responsibilities

• Design and implement scalable, production‑grade AI/ML use cases using an enterprise AI platform, following architectural standards and best practices.
• Collaborate with product, architecture, and business teams to translate requirements into effective AI solutions.
• Provide engineering support through design guidance, reference architecture, and technical reviews.
• Work closely with the core AI platform team to ensure optimal platform adoption and provide feedback for platform enhancements.
• Contribute to platform evolution by identifying gaps, improvements, and emerging AI, GenAI, and MLOps requirements.
• Ensure quality, reliability, observability, and responsible AI compliance across deployed solutions.
• Mentor junior engineers and promote strong engineering practices, including code quality, testing, documentation, and knowledge sharing.

Knowledge, Skills, and Abilities

• Strong software engineering in .NET Core / C# and Python.
• Applied experience with LLMs, Azure OpenAI, and RAG architecture.
• Hands‑on expertise with Azure AI services and cloud‑native development.
• Proficiency in microservices, REST APIs, and scalable system design.
• Experience with vector search, document processing, and AI solution deployment.

Education and Experience

• Bachelor’s degree in computer science, engineering, finance/accounts, or related discipline.
• 10–12 years of strong hands‑on experience in AI engineering.

Must‑Have Skills

• Experience with Azure AI Studio / Prompt Flow and advanced AI orchestration.
• Exposure to multimodal AI, advanced NLP, and AI security/governance.
• Familiarity with monitoring, resilience, and cost optimization for production AI systems.